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We are building a next-generation AI-powered software testing platform and are looking for an AI Engineer to help develop intelligent multi-agent systems capable of autonomously planning, reasoning, and executing testing workflows. Working in a team of AI Engineers, you will design and build Agentic AI solutions powered by Large Language Models (LLMs), enabling AI agents to collaborate and solve complex testing challenges with minimal human intervention. This is an opportunity to work on cutting-edge Generative AI technologies and contribute directly to the evolution of autonomous software testing.
Job Responsibility
Design and develop Agentic AI and Multi-Agent Systems for software testing automation
Build and integrate LLM-powered workflows using modern AI frameworks and APIs
Develop backend services and APIs to support agent interactions and orchestration
Conduct experiments and evaluate AI model performance, accuracy, and reliability
Collaborate with Product, QA, and Engineering teams to define and implement AI-driven solutions
Deploy, monitor, and maintain AI services in development and testing environments
Research emerging AI technologies and recommend improvements to existing solutions
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field
Minimum 3 years of experience in AI Engineering, Machine Learning Engineering, Data Science, or related disciplines
Hands-on experience building and deploying Generative AI or LLM-powered applications
Strong proficiency in Python and experience building APIs using FastAPI, Flask, or similar frameworks
Hands-on experience developing Generative AI or LLM-powered applications using platforms such as OpenAI, Vertex AI, or open-source models
Familiarity with Agentic AI frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or LlamaIndex
Understanding of Prompt Engineering, RAG, Tool Calling, and AI workflow orchestration
Strong analytical and problem-solving skills, with good English communication abilities
Nice to have
Experience designing Multi-Agent Systems or Agentic AI solutions
Knowledge of Docker, cloud platforms (AWS, Azure, GCP), and deployment practices
Experience in software testing, QA automation, or testing tools
Familiarity with MLOps or LLMOps practices
What we offer
Competitive salary and 13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trip
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, basketball, badminton, pickleball)
International team with flexible working time
Tailor-made career path
Technical workshops and training courses
Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries